Department of Engineering, Central Cambridge, Cambridge

We are seeking two highly creative and motivated Postdoctoral Research Assistants/Associates to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. All positions will involve research in collaboration with Zoubin Ghahramani, Carl Rasmussen, Richard Turner, Hong Ge and other members of the group (http://mlg.eng.cam.ac.uk/).

The goal of the programme is to develop novel theoretical foundations and practical algorithms for machine learning that will enable 1) towards human-like learning from less labelled data, and 2) robust decision-making and control in uncertain environments. These new methods will be tested on a range of tasks drawn from computer vision, natural language process and reinforcement learning etc.

Key responsibilities include working on deep learning, probabilistic modelling, approximate inference, reinforcement learning, computational neuroscience, sparsity in neural networks, computer vision, Bayesian optimisation, Markov-chain Monte Carlo, deep learning for structured data (including graph neural networks), deep learning for combinatorial optimisation, few-shot learning etc.

Additional responsibilities include working on developing research objectives and proposals; presentations and publications; assisting with project management; assisting with teaching and supervision; liaising and networking with colleagues and students; planning and organising research resources and workshops.

http://www.jobs.cam.ac.uk/job/28154/